SMA vs EMA Simple vs Exponential Moving Average Explained
Learn the difference between Simple Moving Average (SMA) and Exponential Moving Average (EMA), including their formulas.
- 7 min read
- For beginners
- Educational
- Ders 2 / 6
- 1Moving Averages Explained: A Complete Beginner's Guide
- 2SMA vs EMA: Simple vs Exponential Moving Average Explained
- 3Common Moving Average Periods: 20, 50, 100, 200
- 4Moving Averages as Dynamic Support and Resistance
- 5Moving-Average Crossovers Explained: Limitations to Understand
- 6The Lagging Nature of Moving Averages
This lesson explains the two most commonly used types of moving average: the Simple Moving Average (SMA) and the Exponential Moving Average (EMA).
The formulas described in this lesson reflect standard, widely established calculation methods.
What Is a Simple Moving Average (SMA)?
A Simple Moving Average is calculated by adding up the closing prices for a specified number of periods and dividing by that number of periods. For example, a 20-period SMA adds the closing prices of the most recent 20 periods and divides the total by 20, with each period weighted equally in the calculation.
What Is an Exponential Moving Average (EMA)?
An Exponential Moving Average applies greater weight to more recent price data, using a smoothing multiplier in its calculation, rather than weighting all periods equally as the SMA does. This generally makes the EMA respond more quickly to recent price changes than an SMA of the same period length.
Practical Implications of the Difference
Because the EMA weights recent prices more heavily, it generally reacts more quickly to new price movement, which can make it more responsive but also potentially more prone to reacting to short-term noise (covered in the earlier candlestick timeframe lesson). The SMA, being more evenly weighted, tends to be smoother but generally responds more slowly to recent changes.
Neither Type Is Universally Superior
Neither SMA nor EMA is universally considered superior — the choice depends on individual preference and the specific analytical purpose. Some traders use both together, comparing their relative positions, or choose based on whether faster responsiveness (EMA) or smoother, more gradual signals (SMA) better suit their particular approach.
Summary
A Simple Moving Average (SMA) weights all included periods equally, while an Exponential Moving Average (EMA) weights more recent price data more heavily, making the EMA generally more responsive to recent changes but also potentially more prone to reacting to short-term noise. Neither type is universally superior, and the choice depends on individual preference for responsiveness (EMA) versus smoothness (SMA).
Frequently Asked Questions
An average calculated by adding closing prices over a specified number of periods and dividing by that number, with each period weighted equally.
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